Mikhail Nosov c4f5bce3b0 If CMAKE_BUILD_TYPE is not set - set it to 'Release' by default (#11026)
This behavior is already used by default because ONNX is enabled by default and thirdparty/onnx/onnx/CMakeLists.txt forcing CMAKE_BUILD_TYPE to Release if it is not set

It fixes the following issues:
- When ONNX frontend is disabled - source is built for Debug, which is very unexpected comparing to Release with ONNX frontend enabled
- When ONNX frontend is disabled, even libopenvino.so could not be built due to some generated makefiles issues

It is set to 'Release' (not to 'Debug') to comply with default behavior when ONNX is enabled (it is default option working for most users)
2022-03-18 06:59:36 +03:00
2022-03-17 11:17:25 +03:00
2021-05-31 15:24:56 +03:00
2018-10-16 13:45:03 +03:00
2020-11-17 16:44:44 +03:00

OpenVINO™ Toolkit

Stable release Apache License Version 2.0 GitHub branch checks state Azure DevOps builds (branch) PyPI Downloads

This toolkit allows developers to deploy pre-trained deep learning models through a high-level OpenVINO™ Runtime C++ and Python APIs integrated with application logic.

This open source version includes several components: namely Model Optimizer, OpenVINO™ Runtime, Post-Training Optimization Tool, as well as CPU, GPU, MYRIAD, multi device and heterogeneous plugins to accelerate deep learning inferencing on Intel® CPUs and Intel® Processor Graphics. It supports pre-trained models from the Open Model Zoo, along with 100+ open source and public models in popular formats such as TensorFlow, ONNX, PaddlePaddle, MXNet, Caffe, Kaldi.

Repository components

License

OpenVINO™ Toolkit is licensed under Apache License Version 2.0. By contributing to the project, you agree to the license and copyright terms therein and release your contribution under these terms.

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Languages
C++ 80.5%
Python 15.5%
C 2.8%
CMake 0.9%
Cython 0.1%